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# app.py | |
import streamlit as st | |
import streamlit.components.v1 as components | |
import os | |
import json | |
import pandas as pd | |
import uuid | |
import math | |
import time | |
# Import our GameState class | |
from gamestate import GameState | |
# --- Page Config --- | |
st.set_page_config(page_title="Infinite World Builder", layout="wide") | |
# --- Constants --- | |
SAVE_DIR = "saved_worlds" | |
PLOT_WIDTH = 50.0 # Width of each plot in 3D space | |
PLOT_DEPTH = 50.0 # Depth of each plot | |
CSV_COLUMNS = ['obj_id', 'type', 'pos_x', 'pos_y', 'pos_z', 'rot_x', 'rot_y', 'rot_z', 'rot_order'] | |
# --- Ensure Save Directory Exists --- | |
os.makedirs(SAVE_DIR, exist_ok=True) | |
def load_plot_metadata(): | |
"""Scans SAVE_DIR for plot files and returns metadata.""" | |
plots = [] | |
try: | |
plot_files = [f for f in os.listdir(SAVE_DIR) if f.endswith(".csv") and f.startswith("plot_X")] | |
except FileNotFoundError: | |
st.error(f"Save directory '{SAVE_DIR}' not found.") | |
return [] | |
except Exception as e: | |
st.error(f"Error listing save directory '{SAVE_DIR}': {e}") | |
return [] | |
parsed_plots = [] | |
for filename in plot_files: | |
try: | |
parts = filename[:-4].split('_') # Remove .csv | |
grid_x = int(parts[1][1:]) # After 'X' | |
grid_z = int(parts[2][1:]) # After 'Z' | |
plot_name = " ".join(parts[3:]) if len(parts) > 3 else f"Plot ({grid_x},{grid_z})" | |
parsed_plots.append({ | |
'id': filename[:-4], | |
'filename': filename, | |
'grid_x': grid_x, | |
'grid_z': grid_z, | |
'name': plot_name, | |
'x_offset': grid_x * PLOT_WIDTH, | |
'z_offset': grid_z * PLOT_DEPTH | |
}) | |
except (IndexError, ValueError): | |
st.warning(f"Could not parse grid coordinates from filename: {filename}. Skipping.") | |
continue | |
parsed_plots.sort(key=lambda p: (p['grid_x'], p['grid_z'])) | |
return parsed_plots | |
def load_plot_objects(filename, x_offset, z_offset): | |
"""Loads objects from a CSV file and applies world offsets.""" | |
file_path = os.path.join(SAVE_DIR, filename) | |
objects = [] | |
try: | |
df = pd.read_csv(file_path) | |
if not all(col in df.columns for col in ['type', 'pos_x', 'pos_y', 'pos_z']): | |
st.warning(f"CSV '{filename}' missing essential columns. Skipping.") | |
return [] | |
df['obj_id'] = df.get('obj_id', pd.Series([str(uuid.uuid4()) for _ in range(len(df))])) | |
for col, default in [('rot_x', 0.0), ('rot_y', 0.0), ('rot_z', 0.0), ('rot_order', 'XYZ')]: | |
if col not in df.columns: | |
df[col] = default | |
for _, row in df.iterrows(): | |
obj_data = row.to_dict() | |
obj_data['pos_x'] += x_offset | |
obj_data['pos_z'] += z_offset | |
objects.append(obj_data) | |
return objects | |
except FileNotFoundError: | |
st.error(f"File not found during object load: {filename}") | |
return [] | |
except pd.errors.EmptyDataError: | |
return [] | |
except Exception as e: | |
st.error(f"Error loading objects from {filename}: {e}") | |
return [] | |
def save_plot_data(filename, objects_data_list, plot_x_offset, plot_z_offset): | |
"""Saves object data list to a CSV file, making positions relative to the plot origin.""" | |
file_path = os.path.join(SAVE_DIR, filename) | |
relative_objects = [] | |
if not isinstance(objects_data_list, list): | |
st.error("Invalid data format received for saving (expected a list).") | |
return False | |
for obj in objects_data_list: | |
pos = obj.get('position', {}) | |
rot = obj.get('rotation', {}) | |
obj_type = obj.get('type', 'Unknown') | |
obj_id = obj.get('obj_id', str(uuid.uuid4())) | |
if not all(k in pos for k in ['x', 'y', 'z']) or obj_type == 'Unknown': | |
print(f"Skipping malformed object during save prep: {obj}") | |
continue | |
relative_obj = { | |
'obj_id': obj_id, 'type': obj_type, | |
'pos_x': pos.get('x', 0.0) - plot_x_offset, | |
'pos_y': pos.get('y', 0.0), | |
'pos_z': pos.get('z', 0.0) - plot_z_offset, | |
'rot_x': rot.get('_x', 0.0), 'rot_y': rot.get('_y', 0.0), | |
'rot_z': rot.get('_z', 0.0), 'rot_order': rot.get('_order', 'XYZ') | |
} | |
relative_objects.append(relative_obj) | |
try: | |
df = pd.DataFrame(relative_objects, columns=CSV_COLUMNS) | |
df.to_csv(file_path, index=False) | |
st.success(f"Saved {len(relative_objects)} objects to {filename}") | |
return True | |
except Exception as e: | |
st.error(f"Failed to save plot data to {filename}: {e}") | |
return False | |
# --- Initialize GameState Singleton --- | |
def get_game_state(): | |
# This instance is shared across all sessions and reruns. | |
return GameState(save_dir=SAVE_DIR, csv_filename="world_state.csv") | |
game_state = get_game_state() | |
# --- Session State Initialization --- | |
if 'selected_object' not in st.session_state: | |
st.session_state.selected_object = 'None' | |
if 'new_plot_name' not in st.session_state: | |
st.session_state.new_plot_name = "" | |
if 'js_save_data_result' not in st.session_state: | |
st.session_state.js_save_data_result = None | |
plots_metadata = load_plot_metadata() | |
all_initial_objects = [] | |
for plot in plots_metadata: | |
all_initial_objects.extend(load_plot_objects(plot['filename'], plot['x_offset'], plot['z_offset'])) | |
# --- Sidebar --- | |
with st.sidebar: | |
st.title("🏗️ World Controls") | |
st.header("Navigation (Plots)") | |
st.caption("Click to teleport player to a plot.") | |
max_cols = 2 | |
cols = st.columns(max_cols) | |
col_idx = 0 | |
sorted_plots_for_nav = sorted(plots_metadata, key=lambda p: (p['grid_x'], p['grid_z'])) | |
for plot in sorted_plots_for_nav: | |
button_label = f"➡️ {plot.get('name', plot['id'])} ({plot['grid_x']},{plot['grid_z']})" | |
if cols[col_idx].button(button_label, key=f"nav_{plot['id']}"): | |
target_x = plot['x_offset'] | |
target_z = plot['z_offset'] | |
try: | |
js_code = f"teleportPlayer({target_x + PLOT_WIDTH/2}, {target_z + PLOT_DEPTH/2});" | |
from streamlit_js_eval import streamlit_js_eval | |
streamlit_js_eval(js_code=js_code, key=f"teleport_{plot['id']}") | |
except Exception as e: | |
st.error(f"Failed to send teleport command: {e}") | |
col_idx = (col_idx + 1) % max_cols | |
st.markdown("---") | |
st.header("Place Objects") | |
object_types = ["None", "Simple House", "Tree", "Rock", "Fence Post"] | |
current_object_index = object_types.index(st.session_state.selected_object) if st.session_state.selected_object in object_types else 0 | |
selected_object_type_widget = st.selectbox("Select Object:", options=object_types, index=current_object_index, key="selected_object_widget") | |
if selected_object_type_widget != st.session_state.selected_object: | |
st.session_state.selected_object = selected_object_type_widget | |
st.markdown("---") | |
st.header("Save Work") | |
st.caption("Saves newly placed objects to the current plot. A new plot file is created for new areas.") | |
if st.button("💾 Save Current Work", key="save_button"): | |
from streamlit_js_eval import streamlit_js_eval | |
js_get_data_code = "getSaveDataAndPosition();" | |
streamlit_js_eval(js_code=js_get_data_code, key="js_save_processor") | |
st.rerun() | |
# --- Process Save Data from JS --- | |
save_data_from_js = st.session_state.get("js_save_processor", None) | |
if save_data_from_js is not None: | |
st.info("Received save data from client...") | |
save_processed_successfully = False | |
try: | |
payload = json.loads(save_data_from_js) if isinstance(save_data_from_js, str) else save_data_from_js | |
if isinstance(payload, dict) and 'playerPosition' in payload and 'objectsToSave' in payload: | |
player_pos = payload['playerPosition'] | |
objects_to_save = payload['objectsToSave'] | |
if isinstance(objects_to_save, list): | |
target_grid_x = math.floor(player_pos.get('x', 0.0) / PLOT_WIDTH) | |
target_grid_z = math.floor(player_pos.get('z', 0.0) / PLOT_DEPTH) | |
target_filename = f"plot_X{target_grid_x}_Z{target_grid_z}.csv" | |
target_plot_x_offset = target_grid_x * PLOT_WIDTH | |
target_plot_z_offset = target_grid_z * PLOT_DEPTH | |
st.write(f"Attempting to save plot: {target_filename} (Player at: x={player_pos.get('x', 0):.1f}, z={player_pos.get('z', 0):.1f})") | |
is_new_plot_file = not os.path.exists(os.path.join(SAVE_DIR, target_filename)) | |
save_ok = save_plot_data(target_filename, objects_to_save, target_plot_x_offset, target_plot_z_offset) | |
if save_ok: | |
load_plot_metadata.clear() # Clear cache so metadata reloads | |
try: | |
from streamlit_js_eval import streamlit_js_eval | |
streamlit_js_eval(js_code="resetNewlyPlacedObjects();", key="reset_js_state") | |
except Exception as js_e: | |
st.warning(f"Could not reset JS state after save: {js_e}") | |
if is_new_plot_file: | |
st.success(f"New plot created and saved: {target_filename}") | |
else: | |
st.success(f"Updated existing plot: {target_filename}") | |
# Update shared game state with new objects from this session | |
game_state.update_state(objects_to_save) | |
save_processed_successfully = True | |
else: | |
st.error(f"Failed to save plot data to file: {target_filename}") | |
else: | |
st.error("Invalid 'objectsToSave' format received (expected list).") | |
else: | |
st.error("Invalid save payload structure received from client.") | |
except json.JSONDecodeError: | |
st.error("Failed to decode save data from client.") | |
except Exception as e: | |
st.error(f"Error processing save: {e}") | |
st.session_state.js_save_processor = None | |
if save_processed_successfully: | |
st.rerun() | |
# --- Main Area --- | |
st.header("Infinite Shared 3D World") | |
st.caption("Move to empty areas to expand the world. Use the sidebar 'Save' to store your work.") | |
# Inject state into JS—including the shared GAME_STATE from our GameState singleton. | |
injected_state = { | |
"ALL_INITIAL_OBJECTS": all_initial_objects, | |
"PLOTS_METADATA": plots_metadata, | |
"SELECTED_OBJECT_TYPE": st.session_state.selected_object, | |
"PLOT_WIDTH": PLOT_WIDTH, | |
"PLOT_DEPTH": PLOT_DEPTH, | |
"GAME_STATE": game_state.get_state() | |
} | |
html_file_path = 'index.html' | |
html_content_with_state = None | |
try: | |
with open(html_file_path, 'r', encoding='utf-8') as f: | |
html_template = f.read() | |
js_injection_script = f""" | |
<script> | |
window.ALL_INITIAL_OBJECTS = {json.dumps(injected_state["ALL_INITIAL_OBJECTS"])}; | |
window.PLOTS_METADATA = {json.dumps(injected_state["PLOTS_METADATA"])}; | |
window.SELECTED_OBJECT_TYPE = {json.dumps(injected_state["SELECTED_OBJECT_TYPE"])}; | |
window.PLOT_WIDTH = {json.dumps(injected_state["PLOT_WIDTH"])}; | |
window.PLOT_DEPTH = {json.dumps(injected_state["PLOT_DEPTH"])}; | |
window.GAME_STATE = {json.dumps(injected_state["GAME_STATE"])}; | |
console.log("Streamlit State Injected:", {{ | |
selectedObject: window.SELECTED_OBJECT_TYPE, | |
initialObjectsCount: window.ALL_INITIAL_OBJECTS ? window.ALL_INITIAL_OBJECTS.length : 0, | |
plotCount: window.PLOTS_METADATA ? window.PLOTS_METADATA.length : 0, | |
gameStateObjects: window.GAME_STATE ? window.GAME_STATE.length : 0 | |
}}); | |
</script> | |
""" | |
html_content_with_state = html_template.replace('</head>', js_injection_script + '\n</head>', 1) | |
components.html(html_content_with_state, height=750, scrolling=False) | |
except FileNotFoundError: | |
st.error(f"CRITICAL ERROR: Could not find the file '{html_file_path}'.") | |
st.warning(f"Make sure `{html_file_path}` is in the same directory as `app.py` and `{SAVE_DIR}` exists.") | |
except Exception as e: | |
st.error(f"An critical error occurred during HTML preparation or component rendering: {e}") | |
st.exception(e) | |